Marine Scotland is the custodian of a hydrodynamic model of Scottish continental shelf waters, the Scottish Shelf Model (SSM). The wider Scottish Shelf model (SSM) domain covers the Scottish continental shelf at relatively high resolution (up to 1 km node spacing at the coastline) but also covers most of UK waters, the North Sea and the English Channel. The domain extends in longitude from approximately 13° W to 13° E, including the Baltic Sea. The Wider SSM version 2.01 is a full year climatological run, which represents average conditions for 1990-2014 with a 1993 tidal component.
Reduced precision output for selected variables are available as download from http://doi.org/10.7489/12122-1
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Field | Value |
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Publisher | |
Modified | 2020-01-07 |
Release Date | 2018-09-10 |
Identifier | 30a8712e-4c9d-462c-aac0-5440debde365 |
Spatial / Geographical Coverage Area | |
Language | English (United Kingdom) |
License | UK Open Government Licence (OGL) |
Granularity | Hourly for 1 climatological year representing 1990-2014 with a 1993 tidal component |
Author | |
Data Dictionary | The SSM is an implementation of the Finite Volume Community Ocean Model (FVCOM). FVCOM was developed by the University of Massachusetts-Dartmouth, USA, by Chen et al. (2003) and is still actively being developed. The Wider SSM 2.01 is a full year climatological run, which represents average conditions with a 1993 tidal component. The model forcing is made up of the following: The data are formatted as netCDF 64-bit offset. Gridding is Regular grid covering UK shelf waters, approximately: Published papers and reports related to the data: Cole, S. J., & Moore, R. J. (2009). Distributed hydrological modelling using weather radar in gauged and ungauged basins. Advances in Water Resources. https://doi.org/10.1016/j.advwatres.2009.01.006 De Dominicis, M., O’Hara Murray, R., & Wolf, J. (2017). Multi-scale ocean response to a large tidal stream turbine array. Renewable Energy, 114, 1160–1179. https://doi.org/10.1016/j.renene.2017.07.058 Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., et al. (2011). The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Quarterly Journal of the Royal Meteorological Society, 137(656), 553–597. https://doi.org/10.1002/qj.828 Edwards, K. P., Barciela, R., & Butenschön, M. (2012). Validation of the NEMO-ERSEM operational ecosystem model for the North West European Continental Shelf. Ocean Sci. https://doi.org/10.5194/os-8-983-2012 O’Dea, E. J., Arnold, A. K., Edwards, K. P., Furner, R., Hyder, P., Martin, M. J., et al. (2012). An operational ocean forecast system incorporating NEMO and SST data assimilation for the tidally driven European North-West shelf. Journal of Operational Oceanography. https://doi.org/10.1080/1755876X.2012.11020128 Wolf, J., Yates, N., Brereton, A., Buckland, H., De Dominicis, M., Gallego, A., & O’Hara Murray, R. (2016). The Scottish Shelf Model. Part 1: Shelf-Wide Domain. Scottish Marine and Freshwater Science, 7(3). https://doi.org/10.7489/1692-1 |
Contact Name | Marine Scotland |
Contact Email | |
Public Access Level | Public |